AmazonSoftware Dev Engineer II, Selling Partner Trust - Agentic Ops Tech
Amazon is hiring a Software Dev Engineer II, Selling Partner Trust - Agentic Ops Tech. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include LLMs, Transformers and Generative AI.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Build AI-first compliance systems and generative AI tools for global marketplace safety on the Agentic Ops Tech team.
Key Focus Areas:
• Developing AI-powered systems for automated product safety assessment and compliance verification
• Building intelligent catalog management solutions using natural language processing and computer vision
• Creating generative AI tools to enhance seller safety and compliance processes
• Designing scalable architectures that combine traditional services with AI/ML capabilities
The Ideal Candidate Will Have:
• Strong software engineering fundamentals and experience with distributed systems
• Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs)
• Experience with AI model deployment, optimization, and monitoring in production environments
• Ability to tackle complex problems through data-driven experimentation
What We Offer:
• Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
• Exposure to global markets and diverse technical challenges
• Full-stack development experience across AI and traditional systems
• Collaboration with international teams of applied scientists, engineers, and product managers
• Innovation-focused environment with emphasis on continuous learning and experimentation
Key job responsibilities
• Conceive, design, build, test, and own software systems that automate investigation and compliance workflows at scale.
• Design and code the right solutions starting from broadly defined problems, driving the technical direction of your work.
• Build scalable, fault-tolerant, low-cost distributed systems for storage, indexing, prediction, and query.
• Integrate AI/ML and GenAI capabilities into production, with attention to deployment, optimization, and monitoring.
• Troubleshoot and support what you build, and work in an agile environment to deliver high-quality software.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Irving - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Dev Engineer II, Selling Partner Trust - Agentic Ops Tech at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, NLP, Software Engineering, Generative AI, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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